Security Scan Report: www.comune.sciolze.to.it

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Submitted: Dec 20, 2025, 7:26:55 PMCompleted: Dec 20, 2025, 7:27:18 PMpubliccompleted
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Summary

This website contacted 4 IPs in 3 countries across 3 domains to perform 50 HTTP transactions. The main domain is comune.sciolze.to.it.

Submitted URL: https://www.comune.sciolze.to.it/it-it/home

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no detected threats.

Safety Factors
Official government domain
Absence of credential or payment collection forms
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Comune di Sciolze

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

documentation technical

(56%)

Domain Information

Domain 'www.comune.sciolze.to.it' uses the Italian country-code top-level domain (.to.it); it also runs on subdomain 'www.comune'. The core label 'sciolze' covers 7 characters with 3 vowels and four consonants. It segments into three words: sci, ol, ze. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.sciolze.to.it/it-it/home

Page Load Overview

2.45s
Total Load Time
50
HTTP Requests
3
Domains
2.2 MB
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:it
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:it
Text Length:5,399 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical56% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
56%
government public service
41%
government
40%
blog personal website
27%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14104.26.7.229United States
AS13335CLOUDFLARENET
12104.26.6.229United States
AS13335CLOUDFLARENET
1263.35.34.67Dublin, Leinster, Ireland
AS16509AMAZON-02
12151.11.50.116Florence, Tuscany, Italy
AS24994genesys informatica srl
504--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12DB372115AF1216701A3429D76AE9B09EF95A94FA5D91120FBFE0B944FFBC80C707B0E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:DMDaWZhH3mS19sgxLskyIpz0c93mS19r7iuRpIun1uGoun1uGJJQorzASzBai47p:TWgWxS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:117674:cUJAMIHgMNB3wcSRAUgNeMTSDECgAQhMQEKQACSoXAhkBQAmAhQDAFSyBuIHICGB84RxiIQQo3KEACBQwCug5YKIY8NQOhCI

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

Unable to load historical scan data